AI SOC Vendors Compared: 8 Platforms and Managed Services

AI SOC shortlists often mix software your team runs with services that resolve alerts for you, so separate those operating models first. The choice decides who investigates, who responds, and who owns the outcome, which makes it a bigger decision than an automation purchase.

Nearly every provider in this comparison has agents in its workflow, so their presence tells you little. Analyst Paul Shomo drew the line in Dark Reading in January 2026: AI SOC agents are sold "under SaaS-style licensing," while AI-MDRs "offer outcome-based service-level agreements that cap risk."

The AI SOC market alone counts more than 120 vendors, and the MDR market is larger still, so expect both models on one shortlist.

This comparison assumes you are already shortlisting vendors; whether to pick AI SOC or MDR at all is a category decision. Each entry covers the delivery model and who is accountable, and no vendor is ranked on features.

TL;DR:

• The first split is operating model: an AI SOC platform is software your team runs, and a managed service resolves alerts for you under contract.
• Agents now appear in nearly every vendor's workflow, so ask who issues the verdict and who takes response actions.
• Several vendors sell both a platform and a managed tier, and accountability can change with the tier you sign.
• Integration depth matters more than integration count, so count the integrations that can start an investigation and write back to the source tool.
• Small teams without night coverage often get more from a managed service, while mature SOCs can use a platform to speed up their own analysts.

Three Types of AI SOC Vendors

By operating model and accountability, the market divides into Traditional MDR, AI SOC platforms, and AI-native MDR.

Traditional MDR providers are adding agents to a human-led model. CrowdStrike, SentinelOne, Arctic Wolf, and Sophos have all launched agentic versions of their services over the past year. These providers investigate alerts and take response actions within an agreed scope, and agents speed up their analysts' work.

Dropzone AI, Intezer, Torq, Conifers, and Qevlar sell self-operated AI SOC platforms that automate triage and investigation while your team owns the response. The category is already consolidating: Cribl bought Radiant Security's technology in August 2026.

AI-native MDR is a managed service built on agents from the start. Agents run the investigation, senior human staff back them, and the provider owns the investigation and response work defined in the contract. Capabilities vary widely by provider, and Daylight and Exaforce both sit in this group.

Several vendors occupy a blurred middle. Exaforce offers AI-native MDR with platform and service options, and 7AI sells a self-operated tier and a managed tier from one platform. Prophet sells agentic investigation software and has added "Watchtower," an optional 24x7 analyst service. AI SOC platforms leave the response with your team, so accountability can shift with the tier. Confirm which operating model and contractual outcome you are buying.

SACR puts the self-operated case plainly: "When an AI-driven system misclassifies an incident... responsibility sits squarely with the enterprise. There is no external buffer. The CISO owns the outcome."

How to Evaluate AI SOC Vendors

Each question below maps to a column in the comparison table.

Where Investigation Sits and Who Decides the Verdict

Ask who closes the alert. On a self-operated platform, the software produces a determination and your team accepts it, changes it, or redoes the work. Dropzone, for example, offers single-click approval for accurate investigations and lets analysts change an outcome with a justification. With a managed service, the provider's staff close the case.

On self-operated platforms, junior defenders increasingly act as supervisors and auditors of AI investigations, and someone still has to "go back and analyze the data periodically," as Abnormal AI's Patricia Titus put it in June 2026.

Who Takes Response Actions, and With What Authority

Response authority has to be written down. Because MDR is a shared-delivery model, define the response authorization boundaries at the contract stage. For each vendor, find out whether it executes actions or only recommends them, and which actions are pre-authorized. Then check write-back: a provider that forwards a verdict without closing the alert in CrowdStrike or Okta leaves the queue work with you.

Integrations That Start Investigations

A shallow integration makes logs and alerts available without starting an investigation, adding context, or acting in the tool. A deep integration starts investigations, correlates across sources, adds context about your organization, and writes back to the tool. Ask how many listed integrations initiate an investigation, and treat the logo count on the integrations page as a separate number.

Deeper integrations also take time to stand up. Self-operated AI SOC timelines vary and generally include tuning, and integration-speed claims across this market lack independent benchmarks, so get the timeline in writing and tie it to milestones.

Transparency: Black Box or Glass Box

Ask each vendor for a human-readable audit trail of every automated action. Then inspect one real investigation from start to finish: every query run, every source consulted, and the reasoning behind the verdict. A vendor that can show only a summary ticket is asking you to trust a black box, while a Glass Box model shows the full record for any investigation you pick.

Who Handles Hard Cases at Night

In many SOCs, newer analysts handle routine triage and escalate ambiguous alerts, so a hard case at 3 a.m. can still end up with your on-call engineer. Ask each vendor for its shift schedule, the experience of whoever handles complex or ambiguous verdicts, and whether a human makes the escalation call.

AI SOC Vendors Side by Side

The table summarizes each vendor's operating model as of October 2026, using each vendor's own published descriptions, and the profiles below add the detail behind each row.

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Vendor Profiles

Each profile opens with the buyer it fits best, then covers how the vendor works and what to confirm before signing.

1. Daylight Security

Best for: teams that need investigation and response run end to end as a managed service and lack the internal expertise to build and scale AI-driven security operations on their own. Daylight targets companies with roughly 800 to 10,000 employees and multi-cloud environments, whether they are buying 24/7 coverage for the first time or replacing a Traditional MDR.

Daylight is a MASS company, meaning it offers managed agentic security services for Security Operations. MDR is the entry point, built on the same architecture that supports managed threat hunting and the Agentic Security Data Lake. Threat hunting runs as a separate service.

The MDR service begins at investigation and response. Detection happens upstream, and two sources trigger investigations: security alerts from the customer's existing tools, and Daylight's proprietary detection rules running on streaming log data from sources such as Slack, GitHub, Notion, and identity platforms.

Daylight's Agentic Investigation and Response (AIR) engine works with telemetry about the user and their activity, plus business context: relevant policies, exceptions and business rules, and what past investigations found. It can check with the employee in Slack, Teams, or email when needed, and bi-directional integrations let Daylight close the resolved alert in the source tool.

Investigations follow a Glass Box model: the console shows what data was consulted, what logic was applied, and why the verdict was reached. Daylight says its security experts average more than 10 years of security experience, come from incident response, threat hunting, and detection engineering, and work follow-the-sun, so there are no night shifts. As a managed service, Daylight takes on investigation and response under contract; ask for the liability terms in writing, as you would with any MDR.

For a security team of one to three people, the service is designed to take most out-of-hours investigation work off its engineers, freeing time for detection and architecture work, though escalations and actions outside Daylight's authority still reach the team. Daylight quotes a three-week evaluation, and full onboarding takes months depending on environment complexity and whether you are replacing an existing MDR. Use the evaluation to confirm its integrations cover your alert types, and get onboarding milestones in writing.

Not the right fit: Daylight says organizations with mostly on-premises infrastructure are a poor fit, because its context model draws most of its value from cloud identity and workload telemetry. It also points elsewhere mature in-house SOCs seeking a co-managed arrangement, buyers choosing on lowest price, banking or government environments that require on-premises deployment, and teams that need forensics or incident response without ongoing monitoring.

2. Dropzone AI

Best for: security teams with in-house SOC staff who want agentic investigation of alerts from their existing SIEM, SOAR, EDR, and cloud tools while keeping review authority over the verdicts.

Dropzone sells what it calls an "agentic SOC," now with an AI Threat Hunter agent alongside its investigation agent. The platform investigates alerts across SIEM, EDR, and cloud tools and takes containment action if necessary. It also exposes the agent's action graph, queries, and reasoning steps, which fits the audit-trail test above.

Dropzone doesn't offer a managed tier of its own, though CBTS runs the platform inside its managed security services. Otherwise your team supervises the agent, audits its output, and carries the outcome. If you are weighing a move away, other options range from platforms to managed services.

3. Prophet Security

Best for: teams that want transparent agentic investigation plus detection-engineering help, and can staff the review loop or pay for Prophet's Watchtower service.

Prophet's platform covers investigation, threat hunting, and detection engineering, each run by its own AI agent. It correlates data across sources and produces a determination with evidence and remediation recommendations. Prophet says it responds through scoped "Agent Actions," either autonomously or after sign-off from your team, and records each query and reasoning step.

Prophet is also moving toward the service model. Watchtower is an optional round-the-clock service in which a Prophet analyst steps in on malicious or inconclusive determinations within 30 minutes to scope the impact and guide the response. Analysts can also run containment when you ask them to. Confirm the escalation boundaries for the tier you buy.

4. Exaforce

Best for: organizations with heavy IaaS and SaaS alert volume that want one platform they can run themselves or hand to the vendor.

Exaforce offers AI-native MDR built on a real-time knowledge graph and AI agents it calls "Exabots," with the choice to "Operate it yourself" or have Exaforce run it. Customers keep full access to the platform either way. Its managed service pairs Exabots with human analysts, either as the SOC for teams without one or as extra capacity for an existing team.

Exaforce doesn't disclose managed-tier staffing. Buyers taking the managed route should ask who issues verdicts at night, what response authority the service holds, and what the contract says about outcomes.

5. 7AI

Best for: enterprises that want a swarming-agent platform with a managed option from the same vendor.

7AI's "swarming agents" act on alerts across cloud, email, identity, and EDR, dispatch specialized agents, and return conclusions according to the customer's policies. Its PLAID ELITE tier adds a fully managed service with follow-the-sun coverage and oversight from 7AI security engineers.

Managed-tier headcount and shift structure are undisclosed, the same open question as with Exaforce. 7AI's public material doesn't set out liability terms, so request the applicable agreement and enterprise references.

6. Expel

Best for: teams that want human-led Traditional MDR with investigation detail visible in the Workbench platform, running on tools they already own.

Expel runs its service on the "Workbench" platform, with an AI layer it calls "Ruxie." In 2026 it added a Ruxie detection agent that finds coverage gaps in third-party telemetry and a rapid triage agent for identity and AWS cloud alerts. It also launched Managed SIEM, a service co-managed with customers in Microsoft Sentinel and Splunk Enterprise Security. Expel's analysts handle investigation and in-scope response, and Expel positions the service as human-led and transparent.

Expel says the rapid triage agent never auto-closes an alert, and every final disposition stays with an Expel analyst. During evaluation, ask how Expel captures your policies, approved exceptions, and business rules, how that context reaches its analysts and Ruxie agents, and what share of ambiguous cases comes back to your team.

7. CrowdStrike Falcon Complete

Best for: organizations standardized on the Falcon platform that want the vendor's own analysts and agents working its telemetry.

CrowdStrike has positioned Falcon Complete as "Agentic MDR" since the March 2026 announcement noted above, pairing human analysts with AI agents. CrowdStrike lists coverage across endpoints, identities, cloud, SaaS, and third-party data.

Falcon Complete is built around the Falcon platform. Companies whose attack surface runs through Okta, SaaS tenants, and multi-cloud workloads with a mixed security stack should test investigation depth outside Falcon-native telemetry. Ask how much of each investigation agents run end to end, which shows how far the service has moved toward agentic MDR.

8. Zscaler MDR (Red Canary)

Best for: organizations that want Red Canary's detection-focused Traditional MDR across endpoint, identity, and cloud, including teams already running Zscaler.

Zscaler bought Red Canary in 2025, and the service now runs as Zscaler MDR, which Zscaler describes as human-led with AI support. Zscaler has since added Zscaler Agentic SOC, pairing AI agents with Zscaler and Red Canary analysts. In diligence, confirm how the two offerings relate and which one your contract covers, then check coverage beyond endpoint and whether the service stays human-led as the portfolio evolves.

Which Vendor Type Fits Your Team

Team maturity decides whether a tool or a service fits. The most common size for a fully staffed SOC is 2 to 10 people, according to SANS's 2025 SOC Survey. SMB and lower mid-market buyers are expected to favor AI-native MDR over running an agentic SOC platform in-house, while large enterprises keep decision authority in-house and use platforms as "constrained augmentation tools."

For a small team with no night coverage, a platform adds a system to supervise and a managed service adds the people. If you run a mature SOC with detection engineers, a self-operated platform may make that team faster without changing who owns the outcome.

The environment decides which managed service fits. If you are standardized on Falcon with mostly endpoint risk, Falcon Complete is a defensible choice. Identity in Okta or Google Workspace, workloads across two or more clouds, a growing SaaS estate, and a mixed tool stack favor providers whose investigations draw on identity and cloud context natively and whose integrations write back.

Custom detections your team writes can carry a meaningful share of alert volume, and some MDR providers route those alerts back to the internal team, so ask whether rules on your own logs count as an investigation trigger.

Accountability belongs in the contract. After a 2 a.m. breach, the board will want a named party, and the contract is where that name sits. The NIST CSF 2.0 guidance names organizational leadership as "responsible and accountable for cybersecurity risk," so that accountability stays with you under either model. A managed service assigns the investigation and response work in the contract to a named provider, and remedies, exclusions, and liability caps vary by agreement, so read those terms before you sign.

Frequently Asked Questions About AI SOC Vendors

Is an AI SOC Platform Cheaper Than an AI-Native MDR?

Not necessarily. Platforms assume operators on your side, so price their time, including nights and weekends, alongside the license before comparing against a managed service.

Can You Run an AI SOC Platform Alongside an MDR?

Some teams do, for example to give in-house engineers agentic investigation for their custom detections while a provider covers the rest. Split the alert sources between them in writing, or the same alert can be worked twice and closed in one tool while it stays open in the other.

What Access Does an AI SOC Vendor Need?

Investigation needs read access to your alert sources and the logs behind them, through API connections to tools such as your EDR, identity provider, and cloud accounts. Response and write-back need narrower write permissions, such as disabling an account or closing an alert, scoped to the actions you have pre-authorized. Ask where investigation data is stored, how long it is retained, and whether it is used to train models for other customers.

Does an MDR Contract Transfer Liability?

Not automatically. An MDR agreement assigns service obligations and limited financial remedies to the provider, within caps and exclusions. Critical Start's 2023 terms for federal buyers, for example, cap liability at what the customer paid for the affected services over the prior twelve months, with some exceptions, and exclude consequential damages.

How Do You Run a Fair Comparison Across AI SOC Vendors?

Give every vendor the same alert sources over the same weeks of live traffic, and seed the trial with alerts from past incidents your team has already resolved, so you know the right answer in advance. Include alerts that land on nights and weekends, then compare how long each vendor takes to reach a verdict and how many times it comes back to you with questions. Managed onboarding usually starts with monitoring and improves over weeks or months, so judge the trajectory as well as the first week.